Circular intuitionistic fuzzy decision making and its application

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dc.contributor.authorÇakır, Esra
dc.contributor.authorTaş, Mehmet Ali
dc.date.accessioned2024-04-04T21:06:55Z
dc.date.available2024-04-04T21:06:55Z
dc.date.issued2023
dc.departmentTAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractCircular intuitionistic fuzzy set (C-IFS) is introduced by Atanassov in 2020 as an extension of intuitionistic fuzzy sets. It is represented by a circle with a radius (r) of each element consist of degrees of membership and nonmembership. Several MCDM methods based on distance measures of C-IFS are already proposed in the literature. The primary objective of this study is the development, with the use of the C-IFS, of a new formulation of functions to form a novel C-IFS multi-criteria decision making (MCDM) method. In addition to the existing literature, this study contributes to circular intuitionistic fuzzy sets by proposing some formulations on radius calculation and a new defuzzification function for C-IFS. The optimistic and pessimistic points are also defined on the set to identify a novel score function and an accuracy function with decision-makers attitude (?). When the perspective of the decision-maker (?) approaches 1, it means that C-IFS is defuzzified close to its optimistic point, and when the perspective (?) approaches 0, it is defuzzified close to the pessimistic point of C-IFS. With the use of these functions, a novel C-IFS MCDM method is presented based on criteria weighting and alternative ranking algorithms. This technique is applied to a supplier selection problem for a seamless supply chain network. A sensitivity analysis is also performed to test the effect of parameter changes on the final results. The findings of the study are compared with the results of a classical IFS-MCDM model. Since C-IFS is an extension of IFS, in addition to similar rankings, more precise results are obtained by considering the optimistic and pessimistic points by including the decision-maker attitude in the functions proposed for C-IFS. The study is a pioneer in the C-IFS literature by presenting C-IFS defuzzification function and a new C-IFS MCDM procedure.
dc.identifier.citationÇakır, E. ve Taş, Mehmet A. (2023). Circular intuitionistic fuzzy decision making and its application. Expert Systems with Applications, 225.
dc.identifier.doi10.1016/j.eswa.2023.120076
dc.identifier.issue225en_US
dc.identifier.scopus2-s2.0-85153530611
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1044
dc.identifier.wosWOS:000988837400001
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherExpert Systems with Applications
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCircular intuitionistic fuzzy setsen_US
dc.subjectCircular intuitionistic fuzzyen_US
dc.subjectFuzzy set extensionsen_US
dc.subjectC-IFS score functionen_US
dc.subjectSupply chain networken_US
dc.subjectSupplier selectionen_US
dc.titleCircular intuitionistic fuzzy decision making and its application
dc.typeArticle

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